This workshop aims to enable participants with the knowledge to analyze and present data by using Azure Machine Learning,
and to provide an introduction to the use of machine learning and Cognitive Services.
– Introduction to Machine Learning
– Introduction to Azure Machine Learning
– Predicting Employee Churn using AML
This workshop is suitable for software developers, database developers, business intelligence analysts and IT professionals.
Date/ Time: 6 May 2019, 6.30pm to 9.00pm (registration starts at 6.15pm)
Location: Microsoft Singapore, Level 21, One Marina Boulevard Singapore 018989
About the speaker:
Uditha Bandara (MVP) specializes in Microsoft development, AI, Mobile App and Cloud technologies. He is the South East Asia’s First XNA/DirectX MVP (Most Valuable Professional). He had delivered sessions at various events and conferences in Hong Kong, Malaysia, Singapore, Cambodia, Indonesia, Myanmar, Bangladesh, Sri Lanka and India. He has published several books, articles, tutorials, and demos on his Blog – https://uditha.wordpress.com
Meetup event –
All around the world user groups and communities want to learn about Azure and Cloud Computing!
On April 27, 2019, all communities will come together once again in the sixth great Global Azure Bootcamp event!
Each user group will organize their own one day deep dive class on Azure the way they see fit and how it works for their members.
The result is that thousands of people get to learn about Azure and join together online under the social hashtag #GlobalAzure!
I will be speaking at GLOBAL AZURE BOOTCAMP 2019 , Kuala Lumpur , Malaysia.
April 27, 2019, 9AM – 5PM
Data & AI Agenda
Global AI Night,Colombo successfully concluded on 2nd of April at Microsoft Sri Lanka.
Official Announcement Video
First session by Mr.Indika Dalugama
(Solution Architect Data & AI)
Microsoft AI Roadmap
Second Session by Uditha Bandara
Microsoft MVP, Founder Blue Chip Training
Microsoft AI Technology platform with hands on Labs
Third Session by Mr. Calvin Hindle
Business Consultant (Cognitive & Machine Learning)
AI Driven Customer Experience
Around 60 participant attended Global AI Night , Colombo. Including university students and industry professionals.
Colombo AI Technology Meetup – 500+ members and growing.
In this tutorial we will look into building RNN using Tenserflow.
We can use RNN for forecasting data where output can be next value or sequence of values.
The RNN trains its units by adjusting their weights following a slight modification of a feedback process known as backpropogation
We can use tenserflow to implement RNN. Following code we implement an RNN in to predict spam from texts
Test accuracy plot